首页 | 本学科首页   官方微博 | 高级检索  
     

模拟家庭监护的非接触呼吸和心跳信号分离实验研究
引用本文:张华,荆钧尧,李盛,张鹏飞,于宵,吕昊,路国华,王健琪. 模拟家庭监护的非接触呼吸和心跳信号分离实验研究[J]. 电子科技, 2013, 26(9): 57-60
作者姓名:张华  荆钧尧  李盛  张鹏飞  于宵  吕昊  路国华  王健琪
作者单位:(1.第四军医大学 生物医学工程学院,陕西 西安 710032;2.西安电子工程研究所,陕西 西安 710100)
基金项目:国家自然科学基金面上资助项目
摘    要:该实验研究的目的是为了从雷达式生命参数监护系统的回波信号中分离出呼吸和心跳信号,提取呼吸、心跳的特征参数,为家庭监护及疾病预防提供依据。分析回波信号的特点,改进自适应滤波器的参考输入信号为呼吸信号的谐波组合。针对模拟家庭监护实验提出了基于LMS自适应谐波抵消算法进行自适应滤波。在模拟家庭监护的实验中可以有效地分离出呼吸和心跳信号。

关 键 词:生物雷达  自适应噪声抵消  LMS  

Study on the experiment for Separation of the Bioradar Heartbeat and Respiratory Singal Based on Simulated Household Monitoring
ZHANG Hua;JING Junyao;LI Sheng;ZHANG Pengfei;YU Xiao;L Hao;LU Guohua;WANG Jianqi. Study on the experiment for Separation of the Bioradar Heartbeat and Respiratory Singal Based on Simulated Household Monitoring[J]. Electronic Science and Technology, 2013, 26(9): 57-60
Authors:ZHANG Hua  JING Junyao  LI Sheng  ZHANG Pengfei  YU Xiao  L Hao  LU Guohua  WANG Jianqi
Affiliation:(1.School of Biomedical Engineering,Fourth Military Medical University,Xi'an 710032,China;2.Electronic Engineering Research Institute,Xi'an 710100,China)
Abstract:Objective This study aimed to separate the breathing and heartbeat signal effectively from the biological radar echo signal,as well as extract the breathing and heartbeat characteristics in order to provide the basis for clinical diagnosis and disease prevention.Methods Analysis the characteristics of the radar echo signal,use the combined harmonic of the breathing signal as a reference input signal of the adaptive filter to improve the algorithm.Related experiments were designed and completed.Results This paper presents a separation algorithm of heartbeat and respiration based on LMS adaptive harmonic cancellation.Conclusion The output results suggest that the results of simulated household monitoring experiments were quite well.
Keywords:doppler radar  adaptive noise canceller  LMS,
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电子科技》浏览原始摘要信息
点击此处可从《电子科技》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号